Public deliverables

D3.1: Handbook: How to engage different AI-related stakeholders in VET ecosystems

The AI4VET4AI project addresses a critical challenge facing Europe’s workforce: the urgent need to develop AI-related skills and expertise within vocational education and training (VET) ecosystems. By uniting educational institutions, industry players, and government bodies, the project leverages the Triple Helix Model to foster an environment where innovation, knowledge exchange, and collaboration thrive. This approach ensures that graduates, employees, and decision-makers are better prepared to engage with AI responsibly and effectively.

D2.2: Transnational research report: Regional and national AI-related skill gaps

Artificial intelligence (AI) is one of the most important technologies of the 21st century, and is already on its way to be a key economic driver of change in the immediate future. The objective of this report is to help understand how the skills required for empowering AI adoption varies between regions, countries, and sectors within the EU. To achieve this, the report starts with an overview of AI, including definitions, the economic significance of AI, an understanding of how AI will impact on the VET sector and how this filters on to broader implications for the future of work in the EU.

D4.1: Curricula for IVET and CVET learners on AI-related skills

Work Package 4 (WP4) of the AI4VET4AI project is dedicated to designing and delivering educational content and methodologies that enable both learners and educators within vocational education and training (VET) to acquire AI-related skills. Within this work package, Task 4.1 focused on the development of curricula for IVET and CVET learners in selected industries, resulting in this deliverable.

D4.2: Curricula for IVET and CVET teacher training on AI-related skills

The integration of Artificial Intelligence into education and training systems is not only a technological evolution but also a profound pedagogical shift. For this transformation to take root and deliver long-term value, educators — particularly those working in IVET and CVET systems — must be equipped with the knowledge, tools, and confidence to teach AI-related skills effectively. Task 4.2 of the AI4VET4AI project directly addresses this challenge by creating tailored curricula for teacher training.

D4.3: Methodology on AI use-case presentations for VET teaching purposes

This deliverable introduces a structured and adaptable methodology for developing and presenting AI use-case scenarios tailored for vocational education and training (VET). The methodology is one of the central outputs of Work Package 4 (WP4) of the AI4VET4AI project and aims to equip VET educators with the tools, strategies, and frameworks needed to bring artificial intelligence into classrooms in a way that is engaging, pedagogically sound, ethically grounded, and aligned with real-world industry needs.

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